Build OcrBuild an OCR for iOS apps
Stars: ✭ 17 (-66%)
DeTeXtiOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).
Stars: ✭ 73 (+46%)
Waifu2x IosiOS Core ML implementation of waifu2x
Stars: ✭ 286 (+472%)
CustomVisionMicrosoftToCoreMLDemoAppThis app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.
Stars: ✭ 25 (-50%)
ios-ml-dog-classifierAn iOS app that can detect a dog and determine its breed from an image or video feed.
Stars: ✭ 37 (-26%)
Facesvisiondemo👀 iOS11 demo application for age and gender classification of facial images.
Stars: ✭ 273 (+446%)
LuminaA camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Stars: ✭ 784 (+1468%)
mlmodelzooBuild your iOS 11+ apps with the ready-to-use Core ML models below
Stars: ✭ 17 (-66%)
keras-knnCode for the blog post Nearest Neighbors with Keras and CoreML
Stars: ✭ 25 (-50%)
KerasdeepspeechA Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Stars: ✭ 245 (+390%)
inceptionReal time image recognition using Core ML
Stars: ✭ 24 (-52%)
StyleartStyle Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
Stars: ✭ 209 (+318%)
CoremltoolsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Stars: ✭ 2,483 (+4866%)
Fritz ExamplesA collection of experiences utilizing machine learning models from Fritz AI
Stars: ✭ 181 (+262%)
Yolov3YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Stars: ✭ 8,159 (+16218%)
mnist-coremlSimple convolutional neural network to predict handwritten digits using Keras + CoreML for WWDC '18 scholarship [Accepted]
Stars: ✭ 45 (-10%)
ShowandtellA Show And Tell implementation for iOS 11.0 based on CoreML
Stars: ✭ 155 (+210%)
Pinto model zooA repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
Stars: ✭ 634 (+1168%)
Ios Coreml YoloAlmost Real-time Object Detection using Apple's CoreML and YOLO v1 -
Stars: ✭ 153 (+206%)
CoreML-samplesSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Stars: ✭ 38 (-24%)
Posenet CoremlI checked the performance by running PoseNet on CoreML
Stars: ✭ 143 (+186%)
Mnist drawThis is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
Stars: ✭ 139 (+178%)
GestureAIRNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
Stars: ✭ 20 (-60%)
Cocoaai🤖 The Cocoa Artificial Intelligence Lab
Stars: ✭ 134 (+168%)
MmdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Stars: ✭ 5,472 (+10844%)
Coreml In ArkitSimple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
Stars: ✭ 1,534 (+2968%)
lokiProof-of-concept of emotion-targeted content delivery using machine learning and ARKit.
Stars: ✭ 76 (+52%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (+116%)
ObjectclassifierAn iOS swift app that detects objects using machine learning (CoreML, Vision)
Stars: ✭ 12 (-76%)
Sentimentcoremldemo😃 iOS11 demo application for sentiment polarity analysis.
Stars: ✭ 104 (+108%)
Vision CoreML-AppThis app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.
Stars: ✭ 15 (-70%)
NsfwdetectorA NSFW (aka porn) detector with CoreML
Stars: ✭ 1,364 (+2628%)
Keras OpenfaceKeras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Stars: ✭ 538 (+976%)
CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
Stars: ✭ 16 (-68%)
Flowersvisiondemo🌸 iOS11 demo application for flower classification.
Stars: ✭ 90 (+80%)
Momo mindFace classifier for "Momoiro Clozer Z" member using Tensorflow/Keras
Stars: ✭ 31 (-38%)
digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
Stars: ✭ 23 (-54%)
Ios Coreml MnistReal-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Stars: ✭ 74 (+48%)
IowncodeA curated collection of iOS, ML, AR resources sprinkled with some UI additions
Stars: ✭ 499 (+898%)
VisualprogramminglanguageVisual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.
Stars: ✭ 1,145 (+2190%)
iOS11-DemosCollection of samples and demos of features introduced in iOS 11
Stars: ✭ 16 (-68%)
TestcoremlA camera object recognition demo using the CoreML & AVCam framework. Required XCode 9 & iOS 11.
Stars: ✭ 60 (+20%)
sense-iOSEnhance your iOS app with the ability to see and interact with humans using the RGB camera.
Stars: ✭ 19 (-62%)
CarposedemoReal-time Mobile Car Pose Estimation with CoreML
Stars: ✭ 49 (-2%)
Namescoremldemo🏷 iOS11 demo application for predicting gender from first names.
Stars: ✭ 31 (-38%)
Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
Stars: ✭ 23 (-54%)
BootFinderBoot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!
Stars: ✭ 34 (-32%)